Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Northern Sami
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use zeihers-mart/whisper-small-swedish-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeihers-mart/whisper-small-swedish-basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zeihers-mart/whisper-small-swedish-basic")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zeihers-mart/whisper-small-swedish-basic") model = AutoModelForSpeechSeq2Seq.from_pretrained("zeihers-mart/whisper-small-swedish-basic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model description to fit checkpoint
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Uploaded v5 checkpoint 1500
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End of training
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Training in progress, step 1000
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initial commit
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